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基于功效系数法的泥石流灾害预警研究
引用本文:孟凡奇,李广杰,王庆兵,秦胜伍,赵海卿,金鑫.基于功效系数法的泥石流灾害预警研究[J].岩土力学,2012,33(3):835-840.
作者姓名:孟凡奇  李广杰  王庆兵  秦胜伍  赵海卿  金鑫
作者单位:1. 吉林大学 建设工程学院, 长春 130026;2. 山东省地质环境监测总站, 济南 250014; 3. 沈阳地质矿产研究所, 沈阳 110033;4. 辽宁省地质环境监测总站, 沈阳 110033
基金项目:中国博士后科学基金项目(No.20100471265)
摘    要:泥石流灾害破坏力巨大,预测预报泥石流发生的可能性是防灾减灾的重要手段,也是国内外学者研究的热点。基于功效系数法原理,在综合分析泥石流灾害发生的气象、地质环境影响因素的基础上,选取了山坡坡度、相对高差、植被覆盖率、沿沟松散物储量、5 d累计降雨量、最大小时雨强和当日雨量为评价因子,采用改进后的层次分析法计算评价因子的权重系数,建立了泥石流预测预警模型。以岫岩地区泥石流为例对预警模型进行检验,预测结果较好地反映了实际情况。表明基于功效系数法的泥石流预测预警模型具备较高的可靠性和实用性,研究结果为泥石流预测预警提供了一种新的思路和方法。

关 键 词:泥石流  功效系数法  改进层次分析法  预警模型
收稿时间:2010-12-07

Research on early warning of debris flow based on efficacy coefficient method
MENG Fan-qi , LI Guang-jie , WANG Qing-bing , QIN Sheng-wu , ZHAO Hai-qing , JIN Xin.Research on early warning of debris flow based on efficacy coefficient method[J].Rock and Soil Mechanics,2012,33(3):835-840.
Authors:MENG Fan-qi  LI Guang-jie  WANG Qing-bing  QIN Sheng-wu  ZHAO Hai-qing  JIN Xin
Institution:1. College of Construction Engineering, Jilin University, Changchun 130026, China; 2. Shandong Monitoring Center of Geological Environment, Jinan 250014, China; 3. Shenyang Institute of Geology and Mineral Resources, Shenyang 110033, China; 4. Liaoning Monitoring Center of Geological Environment, Shenyang 110033, China
Abstract:For great destructive debris flow,predicting the likelihood of its early warning is an important means of disaster prevention and mitigation,as well as scholars focus on the key issues.Based on the principle of efficacy coefficient method,analyzing the meteorological and geological environmental factors synthetically;evaluation factors such as hill slope,relative height,vegetation cover,along the groove loose material reserves,5 d cumulative rainfall,maximum rainfall intensity per hour,and intraday rainfall are selected.Using the improved analytic hierarchy process to calculate the weight coefficients of evaluation factors,a early warning of debris flow prediction model is established.Taking an early warning of debris flow in Xiuyan for example,the model is tested to predict the results which reflect the actual situation better.The debris flow early warning model has higher reliability and practicability,and it can provide new ideas and methods for early warning of debris flow prediction.
Keywords:debris flow  efficacy coefficient method  improved analytic hierarchy process  early warning model
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